Research on the probabilistic broadcasting algorithms of Mobile ad hoc network based on percolation theory

Wang Gang, Z. Xiaorong, Cang HaiTao, Li LiZhi
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引用次数: 3

Abstract

Forwarding probability were randomly selected in the traditional probabilistic broadcasting algorithms of Mobile ad hoc network (MANET) and nods were sending a broadcast message to all one hop neighbor nodes. It was impossible to have dynamical adjustment according to the density of network nodes. This article applied the percolation theory to optimization of broadcasting schemes in MANET. We put forward a new optimal algorithms, an optimized probabilistic broadcasting of MANET for percolation theory. We adopted the directional forwarding method, nodes forwarded the message with the critical probability which could just connect all network. Through mathematical reasoning and NS2 simulation, it shown that the algorithm significantly improves the data packet delivery ratio, average delay and other performance, and greatly enhances the utilization of node energy.
基于渗透理论的移动自组网概率广播算法研究
在传统的移动自组网(MANET)概率广播算法中,转发概率是随机选择的,节点向所有单跳邻居节点发送广播消息。不可能根据网络节点的密度进行动态调整。本文将渗透理论应用于MANET广播方案的优化。我们提出了一种新的优化算法,即针对渗透理论的优化概率广播。我们采用定向转发的方式,节点以刚好连接整个网络的临界概率转发消息。通过数学推理和NS2仿真表明,该算法显著提高了数据包投递率、平均时延等性能,大大提高了节点能量的利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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